Evidence map›Paper›PMID 41446406›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

Epidemiology, length of stay, and survival outcomes of

Hussein Tehaili, Shayan Sharifi, Sruti Ramamoorthy, Melike Yildirim, Prabhnoor Dhillon, Raveen Mahngar, Lavina Jabbo, Marco R Scipione, Hossein Salimnia, Glenn Tillotson and 1 more

Abstract read
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In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hussein TehailiSchool of Medicine, Division of Infectious Diseases, Wayne State University, Detroit, MI, USA.ORCID https://orcid.org/0000-0001-6645-6738
Shayan SharifiDepartment of Industrial and Systems Engineering, Wayne State University, Detroit, MI, USA.ORCID https://orcid.org/0009-0007-0032-5242
Sruti RamamoorthySchool of Medicine, Wayne State University, Detroit, MI, USA.
Melike YildirimDepartment of Industrial and Systems Engineering, Wayne State University, Detroit, MI, USA.
Prabhnoor DhillonFamily Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA.
Raveen MahngarAdult Central Campus Infection Control and Epidemiology Department, Detroit Medical Center, Detroit, MI, USA.
Lavina JabboAdult Central Campus Infection Control and Epidemiology Department, Detroit Medical Center, Detroit, MI, USA.
Marco R ScipioneDetroit Receiving Hospital, Detroit, MI, USA.ORCID https://orcid.org/0000-0001-5242-3847
Hossein SalimniaDetroit Medical Center, Microbiology Division, Detroit, MI, USA.
Glenn TillotsonGST Micro North, VA, USA.ORCID https://orcid.org/0000-0002-2221-008X
Teena ChopraSchool of Medicine, Division of Infectious Diseases, Wayne State University, Detroit, MI, USA.ORCID https://orcid.org/0000-0003-1185-4549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the epidemiology and clinical outcomes of Setting: Inpatient admissions in a Detroit tertiary care center, June 2023-March 2025. Patients: Among 9,025 Methods: Clinical and demographic data, including infection status, mortality, and LOS, were analyzed. Glucose variability was assessed by the coefficient of variation. ANOVA and Kruskal-Wallis tests evaluated group differences, pairwise Z-tests compared mortality, and a competing-risks survival analysis estimated probabilities of discharge and in-hospital death. Results: Mortality was highest among colonized/infected patients (31.3%) and significantly associated with race ( Conclusion:

Identifiers

PMID41446406
PMCPMC12722563

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.